Datasets:
license: apache-2.0
GUI Grounding Pre-training Data for OS-ATLAS
This document describes the acquisition of the pre-training data used by OS-ATLAS.
Notes: In GUI grounding data, the position of the target element is recorded in the bbox
key, represented by [left, top, right, bottom]
.
Each value is a [0, 1] decimal number indicating the ratio of the corresponding position to the width or height of the image.
The data we released is divided into three domains: mobile, desktop and web.
All annotation data are stored in JSON format and each sample contains:
img_filename
: the interface screenshot fileinstruction
: human instructionbbox
: the bounding box of the target element corresponding to instruction
Some data also contains a data_type
, which records the type of an element in its structured information, if it can be obtained.
Mobile data
The data is stored under the mobile_domain directory. Our mobile grounding data consists of four parts。
AMEX
Android Multi-annotation EXpo (AMEX) is a comprehensive, large-scale dataset designed for generalist mobile GUI-control agents [1].
The annotation data are stored in
-'amex_raw.json'
Due to the single file size limitation of Hugging Face datasets, we stored the Amex images in zip format and split them into several sub-files.
amex_images_part_aa
amex_images_part_ab
amex_images_part_ac
You need to first merge these split files back into the original file and then extract the contents.
cat amex_images_part_* > amex_images.zip
7z x amex_images.zip -aoa -o/path/to/extract/folder
UIBert
This is a dataset extended from Rico for two tasks: similar UI component retrieval and referring expression component retrieval [2].
The annotation data are stored in
uibert_raw.json
The UIBert images are stored in
UIBert.zip
Widget Captioning
Widget Captioning data are collected by [2].
The annotation data are stored in
-'amex_raw.json'